Mathematics of Materials and Macromolecules: Multiple Scales,
Disorder, and Singularities, September 2004 - June 2005
Mathematics of Materials
September 20-24, 2004
Speakers:
Kaushik Bhattacharya
Applied Mechanics & Mechanical Engineering
Division of Engineering & Applied Science
California Institute of Technology
bhatta@cco.caltech.edu
http://mechmat.caltech.edu
Biography
Masao Doi
Department of Applied Physics
Tokyo University
doi@cse.nagoya-u.ac.jp
http://www.stat.cse.nagoya-u.ac.jp/~masao/
Biography
Qiang Du
Department of Mathematics
Pennsylvania State University
qdu@math.psu.edu
http://www.math.psu.edu/qdu/
Biography
Chun Liu
Department of Mathematics
Pennsylvania State University
liu@math.psu.edu
http://www.math.psu.edu/liu/
Biography
Ellad B. Tadmor
Faculty of Mechanical Engineering
Technion - Israel Institute of Technology
tadmor@technion.ac.il
http://tx.technion.ac.il/~tadmor
Biography
The 2004-2005 IMA thematic program on "Mathematics of Materials
and Macromolecules: Multiple Scales, Disorder, and Singularities" will begin
with a tutorial on "Mathematics and Materials," during the week September 20-24,
2004. The tutorial week will consist of lectures by five distinguished researchers
on background topics in methods to analytically and numerically address emerging
modeling problems for materials. Applications will include multiscale methods
for gels, liquid crystals, superconductivity, micromagnetics, elastomers, and
crystalline solids.
The tutorial lectures are scheduled for 9-10 am, 10:30-11:30 am, 1:30-2:30
pm and 3:00-4:30 pm, on Monday through Friday of the week of September 20 to
24 of 2004.
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SCHEDULE
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MONDAY,
SEPTEMBER 20
All talks are in Lecture Hall EE/CS 3-180
unless otherwise noted. |
| 8:30-8:50 |
Coffee and Registration |
Reception Room EE/CS 3-176 |
| 8:50-9:00 |
Directors and Organizers |
Welcome and Introduction |
| 9:00-10:00 |
Masao Doi
Tokyo University |
Modeling of Gels (The Coupling Between Stress and Diffusion)
(1) What is a Gel
Slides: pdf |
| 10:30-11:30 |
Chun Liu
Pennsylvania State University |
Variational Approaches in Complex Fluids
Lecture 1, Background and Liquid Crystals
Slides: pdf |
| 1:30-2:30 |
Ellad B. Tadmor
Technion - Israel Institute of Technology |
Multiple-Scale Modeling of Materials Using
the Quasicontinuum Method
1. Materials and Multiple Scales |
TUESDAY,
SEPTEMBER 21
All talks are in Lecture Hall EE/CS 3-180
unless otherwise noted. |
| 8:45-9:00 |
Coffee |
Reception Room EE/CS 3-176 |
| 9:00-10:00 |
Masao Doi
Tokyo University |
Modeling of Gels (The Coupling Between Stress and Diffusion)
(2) Stress Diffusion Coupling: The Phenomena and Modeling
Slides: pdf |
| 10:30-11:30 |
Chun Liu
Pennsylvania State University |
Variational Approaches in Complex Fluids
Lecture 2, Viscoelastic Fluids
Slides: pdf |
| 1:30-2:30 |
Ellad B. Tadmor
Technion - Israel Institute of Technology |
Multiple-Scale Modeling of Materials Using
the Quasicontinuum Method
2. The Theoretical Foundations of the Quasicontinuum Method |
WEDNESDAY,
SEPTEMBER 22
All talks are in Lecture Hall EE/CS 3-180
unless otherwise noted. |
| 8:45-9:00 |
Coffee |
Reception Room EE/CS 3-176 |
| 9:00-10:00 |
Chun Liu
Pennsylvania State University |
Variational Approaches in Complex Fluids
Lecture 3, Free Interface Motions in Mixtures
Slides: pdf
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| 10:30-11:30 |
Qiang Du
Pennsylvania State University |
Mathematical Models of Superconductivity, an
Introduction |
| 1:30-2:30 |
Ellad B. Tadmor
Technion - Israel Institute of Technology |
Multiple-Scale Modeling of Materials Using
the Quasicontinuum Method
3. Quasicontinuum Applications |
| 3:00-4:00 |
Kaushik Bhattacharya
California Institute of Technology |
Energy Minimization and Microstructure
Paper: pdf
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THURSDAY,
SEPTEMBER 23
All talks are in Lecture Hall EE/CS 3-180 unless otherwise noted.
|
| 8:45-9:00 |
Coffee |
Reception Room EE/CS 3-176 |
| 9:00-10:00 |
Masao Doi
Tokyo University |
Modeling of Gels (The Coupling Between Stress and Diffusion)
(3) Stress-Diffusion Coupling in Polymer Solutions
Slides: pdf |
| 10:30-11:30 |
Qiang Du
Pennsylvania State University |
Mathematical Models of Superconductivity, an
Introduction |
| 1:30-2:30 |
Kaushik Bhattacharya
California Institute of Technology |
Energy Minimization and Microstructure
Paper: pdf
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FRIDAY,
SEPTEMBER 24
All talks are in Lecture Hall EE/CS 3-180
unless otherwise noted. |
| 8:45-9:00 |
Coffee |
Reception Room EE/CS 3-176 |
| 9:00-10:00 |
Masao Doi
Tokyo University |
Modeling of Gels (The Coupling Between Stress and Diffusion)
(4) Electro-Responsive Gels
Slides: pdf |
| 10:30-11:30 |
Qiang Du
Pennsylvania State University |
Mathematical Models of Superconductivity, an
Introduction |
| 1:30-2:30 |
Kaushik Bhattacharya
California Institute of Technology |
Energy Minimization and Microstructure
Paper: pdf
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Topics and Lecture
Abstracts
Kaushik Bhattacharya (California
Institute of Technology)
Biography: Kaushik
Bhattacharya is a Professor of Mechanics and Materials Science at the California
Institute of Technology. He received his Ph.D in Mechanics from the University
of Minnesota in 1991 and his post-doctoral training at the Courant Institute
for Mathematical Sciences during 1991-1993. He has held visiting positions at
Cornell University, Heriot-Watt University (Scotland), Max-Planck-Institute
(Leipzig, Germany), Cambridge University (England) and the Indian Institute
of Science (Bangalore, India). He received the Young Investigator Award from
the National Science Foundation (NSF) in 1994, Charles Lee Powell Award in 1997,
the Young Investigator Prize from the Society of Engineering Science (SES) in
2003 and the Special Achievements Award in Applied Mechanics from the American
Society of Mechanical Engineers in 2004. He is currently the Editor of the Journal
of the Mechanics and Physics of Solids, and serves on the Editorial Board of
three other journals. He has organized numerous international meetings including
a four-month program at the Isaac Newton Institute, Cambridge, England on the
mechanics of materials in 1999, and the recent SIAM Conference on the Mathematical
Aspects of Materials Science in 2004. His research interest concerns modeling
problems that arise in Materials Science, especially in the area of Active Materials.
Energy Minimization and Microstructure
Paper: pdf
Abstract. There are numerous phenomena in materials
science where fine-scale microstructure is the result of the material seeking
to optimize multiple incongruent objectives. Examples include alloy phase segregation,
martensitic phase transformation, nematic elastomers, ferroelectrics and faceting
of crystalline surfaces. Further the ability of a material to form microstructure
and to change its microstructure depending on the macroscopic boundary conditions
endow the materials with unusual macroscopic behavior like the shape-memory
effect, electrostriction and the liquid-like behavior of solids.
These series of lectures will describe selected examples of such phenomena
and how such a phenomenon can naturally be modeled as a variational problem,
specifically a minimization problem with non-convex energy density. It will
show that microstructure arises as an inevitable consequence of such a variational
problem and that nontrivial aspects of the microstructure can be predicted from
such a formulation. Finally, it will introduce the notion of effective behavior,
i.e., the overall behavior of the material after it has formed microstructure,
how microstructure gives rise to very unusual effective behavior and how one
can describe it without having to resolve every fine detail of the microstructure.
These lectures are intended to be accessible to a broad audience with a balance
between phenomena, modeling and mathematical analysis.

Masao Doi
(Tokyo University)
Biography: Dr. Masao Doi is Professor of Computational
Science and Engineering in Nagoya University. He was a Fellow of the Science
Research Council at Cambridge University from 1976 through 1978. Professor Doi
has received awards from the Polymer Society of the Japan and Rheology Society
of Japan for his research on polymer dynamics and rheology. He is also the recipient
of the Japan IBM Award of Science and doctor honoris causa of Katholic University
Leuven, Belgium. His monograph, `The Theory of Polymer Dynamics` with Sam Edwards
has become the standard reference on nonlinear rheology of flexible and rod-like
polymers. Professor Doi received the Polymer Physics Prize in 2001 "For pioneering
contributions to the theory of dynamics and rheology of entangled polymers and
complex fluids."
Modeling of Gels (The
Coupling Between Stress and Diffusion)
The lecture topics will be distributed as follows:
(1) What is a gel Slides: pdf
(2) Stress diffusion coupling: the phenomena and modeling Slides:
pdf
(3) Stress-diffusion coupling in polymer solutions Slides:
pdf
(4) Electro-responsive gels Slides:
pdf
Abstract: A gel is an elastic object swollen
by solvent, so the force acting on the gel is coupled with the diffusion of
the solvent. The stress-diffusion coupling is seen commonly in everyday life
(water coming out of a squeezed gel) and is also important in many chemical
engineering processes, soaking, drying and sedimentation. The stress diffusion
coupling is also important in the study of artificial muscles, where the deformation
of the gel is controlled by an electric field. Professor Doi will present equations
for the stress diffusion coupling for an ionic gel and discuss electro-chemical
effects.

Qiang Du
(Pennsylvania State University)
Biography: Qiang Du is a professor of mathematics
at the Pennsylvania State University, University Park. He received his Ph.D.
in 1988 under the direction of Max Gunzburger and then went on to do as a Dickson
Instructor at the University of Chicago. He then served as assistant and associate
professor in the Mathematics Department at Michigan State University from 1990-1996,
before holding professorships at Iowa State University and the Hong Kong University
of Science and Technology. Qiang Du's research interests span many areas but
include numerical algorithms, partial differential equations, parallel and scientific
computation and applications to the physical sciences. He is, in particular,
internationally recognized as one of the world's leading researchers in the
area of Ginzburg-Landau theory and superconductivity.
Mathematical Models of Superconductivity, an Introduction
Abstract: Superconductivity is one of the grand
challenges identified as being crucial to future economic prosperity and scientific
leadership. In recent years, the analysis and simulations of various mathematical
models in superconductivity have attracted the interests of many mathematicians
all over the world. Their works have helped us to understand the intriguing
and complex phenomena in superconductivity.
With the recent award of the Nobel Prize in Physics, a renewed attention has
been focused on theoretical foundations of superconductivity, for example, the
popular Ginzburg-Landau theory was proclaimed as "being of great importance
in physics ...". There are new and unresolved mathematical challenges be explored
further. In this tutorial, we will briefly review the physical background of
some interesting problems related to superconductivity, in particular, the problem
of quantized vortices. Various mathematical models ranging from microscopic
BCS theory to the macroscopic critical state models will then be described with
the meso-scale Ginzburg-Landau model being our emphasis. Some recent analytical
and numerical results will be surveyed. Connections to other relevant problems
such as the vortices in Bose-Einstein condensation will also be discussed.
Chun Liu
(Department of Mathematics Pennsylvania State University)
Biography: Dr. Chun Liu is an Associate Professor
of Mathematics in the Pennsylvania State University, University Park. He received
his Ph.D. in Mathematics in 1995, from the Courant Institute of Mathematical
Sciences, New York University. He was a postdoctoral research fellow in the
Department of Mathematics, Carnegie Mellon University, Pittsburgh, during the
academic year 1995-1996. In the following year, he held the Richard Duffin Visiting
Assistant Professor position in the same department. Chun Liu research interests
center around partial differential equations and calculus of variations, with
applications to complex fluids, liquid crystals and polymeric materials, mixtures
and interfaces, magneto-hydrodynamics and electro-kinetic flow, elasticity and
grain growth. He is a very active researcher and speaker.
Variational
Approaches in Complex Fluids
Lecture 1: Background and Liquid Crystals Slides pdf
Lecture 2: Viscoelastic Fluids Slides pdf
Lecture 3: Free Interface Motions in Mixtures Slides pdf
Abstract: Complex fluids such as polymeric solutions,
liquid crystal solutions, pulmonary surfactant solutions, electro-kinetic fluids,
magneto-rheological fluids and blood suspensions exhibit many intricate rheological
and hydrodynamic features that are very important to biological and industrial
processes.
The most common origin and manifestation of anomalous phenomena in complex
fluids are different "elastic" effects. They can be the elasticity of deformable
cells, elasticity of the molecule alignment in liquid crystals, polarized colloids
or multi-component phases, elasticity due to microstructures, or bulk elasticity
endowed by polymer molecules in viscoelastic complex fluids. The physical properties
are purely determined by the interplay of entropic and structural intermolecular
elastic forces and interfacial interactions. These elastic effects can be represented
in terms of certain internal variables, for example, the orientational order
parameter in liquid crystals (related to their microstructures), the distribution
density function in the dumb-bell model for polymeric materials, the magnetic
field in magneto-hydrodynamic fluids, the volume fraction in mixture of different
materials etc. The different rheological and hydrodynamic properties can be
attributed to the special coupling between the transport of the internal variable
and the induced elastic stress. From the point of the view of the energetic
variational formulation, this represents a competition between the kinetic energy
and the elastic energy.
In these lectures, I will study three different but related types of problems
to illustrate this unified energetic variational approach. All the systems are
related and have common structures. However, each one posses its own distinct
features (difficulties). I will present some modeling and analytical results,
as well as those problems that remain to be solved.

Ellad B. Tadmor
(Faculty of Mechanical Engineering, Technion - Israel Institute of Technology)
Biography: Dr. Ellad B. Tadmor is a senior lecturer
in the Department of Mechanical Engineering at the Technion - Israel Institute
of Technology in Haifa, Israel. Dr. Tadmor's research focuses on understanding
material response from fundamental principles rather than phenomenology. He
studies microscopic processes that lead to macroscopic phenomena such as fracture
and plasticity using atomic-scale modeling and multiple-scale techniques. Prior
to his current position, Dr. Tadmor was a postdoctoral research fellow in the
Division of Engineering and Applied Sciences at Harvard University working with
Prof. Efthimios Kaxiras on incorporating ab initio models into multi-scale methods.
In 1996 Dr. Tadmor received his Ph.D. in Engineering from Brown University in
Providence, RI. His doctoral research with Prof. Michael Ortiz and Prof. Rob
Phillips focused on the development of the Quasicontinuum Method, a mixed continuum
and atomistic formulation for describing the mechanical response of materials
at the atomic scale. Dr. Tadmor has received a number of awards including several
Technion Awards for Excellence in Teaching, the Salomon Simon Mani Award for
Excellence in Teaching, and the Materials Research Society (MRS) Graduate Student
Award for his Ph.D. work.
Multiple-Scale Modeling
of Materials using the Quasicontinuum Method
Tentative titles for the three lectures are:
1. Materials and Multiple Scales
2. The Theoretical Foundations of the Quasicontinuum Method
3. Quasicontinuum Applications
Abstract: Atomistic and continuum methods alike
are often confounded when faced with mesoscopic problems in which multiple scales
operate simultaneously. In many cases, both the finite dimensions of the system
as well as the microscopic atomic-scale interactions contribute equally to the
overall response. This makes modeling difficult since continuum tools appropriate
to the larger scales are unaware of atomic detail and atomistic models are too
computationally intensive to treat the system as a whole.
We present an alternative methodology referred to as the "quasicontiuum method"
which draws upon the strengths of both approaches. The key idea is that of selective
representation of atomic degrees of freedom. Instead of treating all atoms making
up the system, a small relevant subset of atoms is selected to represent, by
appropriate weighting, the energetics of the system as a whole. Based on their
kinematic environment, the energies of individual "representative atoms" are
computed either in nonlocal fashion in correspondence with straightforward atomistic
methodology or within a local approximation as befitting a continuum model.
The representation is of varying density with more atoms sampled in highly deformed
regions (such as near defect cores) and correspondingly fewer in the less deformed
regions further away and is adaptively updated as the deformation evolves.
The method has been successfully applied to a number of atomic-scale mechanics
problems including nanoindentation into thin aluminum films, microcracking of
nickel bicrystals, interactions of dislocations with grain boundaries in nickel,
junction formation of dislocations in aluminum, cross-slip and jog-drag of screw
dislocations in copper, stress-induced phase transformations in silicon due
to nanoindentation, polarization switching in ferroelectric lead-titanate and
deformation twinning at aluminum crack tips. An overview of the methodology
and selected examples from these applications will be presented.

LIST OF CONFIRMED PARTICIPANTS
| Name |
Department |
Affiliation |
| Douglas N. Arnold |
Institute for Mathematics and its Applications |
University of Minnesota |
| Donald G. Aronson |
Institute for Mathematics and its Applications |
University of Minnesota |
| Gerard Awanou |
Institute for Mathematics and its Applications |
University of Minnesota |
| Martin Z. Bazant |
Department of Mathematics |
Massachusetts Institute of Technology |
| Josef Bemelmans |
Institute for Mathematics |
Aachen University of Technology |
| Daniel E. Bentil |
Department of Mathematics & Statistics |
University of Vermont |
| Ali Berker |
Corporate Research Materials Lab |
3M |
| Keith Berrier |
|
Rice University |
| Amardeep Bhalla |
Department of Pharmaceutics |
University of Minnesota |
| Kaushik Bhattacharya |
Division of Eng. & Applied Sci. |
California Institute of Technology |
| Helmut Brand |
Physikalisches Institut |
Universität Bayreuth |
| Maria-Carme Calderer |
School of Mathematics |
University of Minnesota |
| Brandon Chabaud |
Department of Mathematics |
University of Minnesota |
| Purnendu Chakraborty |
Department of Applied Mathematics & Scientific Computation |
University of Maryland |
| Athonu Chatterjee |
Dept. of Science & Technology, Modeling & Simulation |
Corning Incorporated |
| Qianyong Chen |
Institute for Mathematics and its Applications |
University of Minnesota |
| L. Pamela Cook |
Department of Mathematical Science |
University of Delaware |
| Bentao Cui |
Department of Chemical Engineering and Materials Science |
University of Minnesota |
| Brian DiDonna |
Institute for Mathematics and its Applications |
University of Minnesota |
| Masao Doi |
Department of Applied Physics |
University of Tokyo |
| Georg Dolzmann |
Department of Applied Mathematics |
University of Maryland |
| Qiang Du |
Department of Mathematics |
Pennsylvania State University |
| Maria Emelianenko |
Department of Mathematics |
Pennsylvania State University |
| Laura JD Frink |
Computational Biology |
Sandia National Laboratories |
| Tim Garoni |
Institute for Mathematics and its Applications |
University of Minnesota |
| Matthias Gobbert |
Department of Mathematics and Statistics |
University of Maryland - Baltimore County |
| Robert Gulliver |
School of Mathematics |
University of Minnesota |
| Chuan-Hsiang Han |
Ford Company |
University of Minnesota |
| Thomas J. Hatch |
ECE/ME |
University of Minnesota |
| Manish Jain |
Corporate Research-3M |
3M |
| Richard D. James |
Aerospace Engineering and Mechanics |
University of Minnesota |
| Sookyung Joo |
Institute for Mathematics and its Applications |
University of Minnesota |
| Chiu Yen Kao |
Institute for Mathematics and its Applications |
University of Minnesota |
| Yun-Hui Kim |
Department of Mathematics |
Indiana University |
| Bernhard Klampfl |
Department of Materials Science |
Klaiss Inc. |
| Richard Kollar |
Institute of Mathematics and its Applications |
University of Minnesota |
| Matthias Kurzke |
Institute for Mathematics and its Applications |
University of Minnesota |
| Frederic Legoll |
Institute for Mathematics and its Applications |
University of Minnesota |
| Benedict Leimkuhler |
Department of Mathematics and Computer Science |
University of Leicester |
| Debra Lewis |
Institute for Mathematics and its Applications |
University of Minnesota |
| Huan Li |
Department of Mathematics |
University of Maryland |
| Xiantao Li |
Institute for Mathematics and its Applications |
University of Minnesota |
| Fanghua Lin |
Department of Mathematics |
New York University |
| Chun Liu |
Department of Mathematics |
Pennsylvania State University |
| Zuhan Liu |
|
Xuzhou Normal University |
| Gang Lu |
Department of Physics and Astronomy |
California State University - Northridge |
| Mitchell Luskin |
School of Mathematics |
University of Minnesota |
| Suping Lyu |
Materials and Biosciences Center |
Medtronic, Inc. |
| Qingfeng Ma |
Department of Mathematics |
Indiana University |
| Govind Menon |
|
University of Wisconsin |
| Michael Mlejnek |
Department of Modeling and Simulation |
Corning Incorporated |
| Sanat Mohanty |
CRL |
3M |
| Siddharthya Mujumdar |
Department of Biomedical |
University of Minnesota |
| Miao-Jung Yvonne Ou |
Department of Mathematics |
University of Central Florida |
| Jinhae Park |
School of Mathematics |
University of Minnesota |
| Lyudmila Pekurousky |
CMRL |
3M |
| Peter Philip |
Institute for Mathematics and its Application |
University of Minnesota |
| Petr Plechac |
Mathematics Institute |
University of Warwick |
| Harald Pleiner |
|
Max Planck Institute for Polymer Research |
| Lea Popovic |
Institute for Mathematics and its Applications |
University of Minnesota |
| Yitzhak Rabin |
Department of Physics |
Bar-Ilan University |
| Amit Ranjan |
Department of Chemical Engineering and Material Sciences |
University of Minnesota |
| Rolf Ryham |
Department of Mathematics |
Pennsylvania State University |
| Arnd Scheel |
Institute for Mathematics and its Applications |
University of Minnesota |
| George R Sell |
School of Math |
University of Minnesota |
| Jackie Shen |
School of Mathematics |
University of Minnesota |
| Tien-Tsan Shieh |
Department of Mathematics |
Indiana University |
| Tiffany Shih |
Department of Chemicial Engineering and Materials Sciences |
University of Minnesota |
| Daniel Spirn |
|
University of Minnesota |
| Peter J. Sternberg |
Department of Mathematics |
Indiana University |
| Vladimir Sverak |
Department of Mathematics |
University of Minnesota |
| Ellad Tadmor |
Department of Mechanical Engineering |
Technion - Israel Institute of Technology |
| Eugene Terentjev |
Cavendish Laboratory |
Cambridge University |
| Raul Velasquez |
Department of Civil Engineering |
University of Minnesota |
| Epifanio G. Virga |
Dipartimento di Matematica |
Universita di Pavia |
| Jimmy Wang |
Aerospace Engineering and Mechanics |
University of Minnesota |
| Xiaoqiang Wang |
|
Pennsylvania State University |
| Zhi-Qiang Wang |
Department of Mathematics & Statistics |
Utah State University |
| Stephen J. Watson |
ESAM |
Northwestern University |
| Olaf Weckner |
Department of Mechanical Engineering |
Massachusetts Institute of Technology |
| Baisheng Yan |
Department of Mathematics |
Michigan State University |
| Xiaofeng Yang |
Department of Mathematics |
Purdue University |
| Toshio Yoshikawa |
Liu Bie Ju Centre for Mathematical Sciences |
City University of Hong Kong |
| Arghir Dani Zarnescu |
Department of Mathematics |
University of Chicago |
Photo Gallery
Tutorial Poster
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